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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Initially, companies utilized Kubernetes mainly for running containerized microservices. I’ll never have to touch Puppet.

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Software Development for Financial Services: Technologies, Trends, Challenges, and Best Practices

Existek

Digital wallets also have additional features such as loyalty card storage, gift card management, and cashless payments. Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions.

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Accelerating Cloud Adoption with Hitachi Vantara

Hu's Place - HitachiVantara

Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49
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The Good and the Bad of Docker Containers

Altexsoft

Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines. That’s why applications that are designed to run as a set of discrete microservices benefit the most from containers. The Good and the Bad of the SAP Business Intelligence Platform. Deployment speed.

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Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

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Turning Streams Into Data Products

Cloudera

Application integration and microservices: Real-time integration use cases required applications to have the ability to subscribe to these streams and integrate with downstream systems in real-time. As Kafka became the standard for the streaming storage substrate within the enterprise, the onset of Kafka blindness began.

Data 88